Main Article Content

Abstract

In ideal conditions, offshore platform design follows standardized international criteria such as the American Petroleum Institute Recommended Practice 2A-LRFD (API RP2A-LRFD) to ensure structural reliability and safety. However, the real conditions in the Java Sea present unique challenges, as environmental loading patterns and regional factors may differ from those assumed in global standards. This study proposes a comprehensive solution through combined structural analysis and reliability assessment using Monte Carlo simulation methods. The urgency of this research stems from the critical need to validate and potentially adjust design standards for regional applications, ensuring the long-term safety and reliability of offshore structures in Southeast Asian waters. The research objectives focus on evaluating the structural reliability of a four-legged jacket type platform using both deterministic and probabilistic approaches, specifically assessing the applicability of API RP2A-LRFD criteria to Java Sea conditions. Results demonstrate that while the structure meets basic design criteria, the reliability indices (β = 16.70 for LRFD, β = 22.29 for unfactored) suggest current load factors may be overly conservative for regional conditions.

Keywords

API RP2A-LRFD Standards Monte Carlo Simulation Structural Reliability Analysis Offshore Platform Design

Article Details

Author Biographies

Sandy Hardian Susanto Herho, Department of Earth and Planetary Sciences, University of California, Riverside, USA

Department of Earth and Planetary Sciences

Ricky Tawekal, Offshore Engineering Research Group, Bandung Institute of Technology, Bandung, Indonesia

Offshore Engineering Research Group

Dasapta Erwin Irawan, Applied Geology Research Group, Bandung Institute of Technology, Bandung, Indonesia

Applied Geology Research Group

How to Cite
1.
Kaban S, Herho SHS, Tawekal R, Irawan DE. Design and Reliability Analysis of Four-Legged Jacket Type Offshore Platform in North Java Sea. EKSAKTA [Internet]. 2025Feb.1 [cited 2025Feb.1];26(01):35-49. Available from: https://eksakta.ppj.unp.ac.id/index.php/eksakta/article/view/550

References

  1. Qiu, L. C. (2007). Numerical simulation of transient hydroelastic response of a floating beam induced by landing loads. Applied ocean research, 29(3), 91-98.
  2. Turner, R. C., Ellinas, C. P., & Thomas, G. A. N. (1994). Worldwide Calibration of API RP2A-LRFD. Journal of waterway, port, coastal, and ocean engineering, 120(5), 423-433.
  3. Shittu, A. A., Mehmanparast, A., Hart, P., & Kolios, A. (2021). Comparative study between SN and fracture mechanics approach on reliability assessment of offshore wind turbine jacket foundations. Reliability Engineering & System Safety, 215, 107838.
  4. Karimi, H. R., KaramZadeh, N. S., & Golami, E. O. D. R. (2017). Effect of elevational and member damage on jacket strength: Sensitivity and reliability review of South Pars phase-20 jacket, using push-over analysis. Ocean Engineering, 143, 209-216.
  5. Ozkul, S. N., Huang, W. X., & Taxy, S. (2021, August). Hybrid Conductor-Supported Tripod Platform: Brownfield Design Perspective to Unlock Production Capacity. In Offshore Technology Conference (p. D011S007R007). OTC.
  6. Lakhani, T. T., & Panchal, V. R. (2022). Comparative study of lifting, installation and operation analysis of subsea manifold with Mudmat structure. International Journal of Design Engineering, 11(2), 151-159.
  7. Abdel Raheem, S. E., Abdel Aal, E. M., AbdelShafy, A. G., Fahmy, M. F., & Mansour, M. H. (2022). In-place analysis for pile structural response of fixed jacket offshore platform. Ships and Offshore Structures, 17(6), 1224-1237.
  8. Tran, T. T., Kim, E., & Lee, D. (2022). Development of a 3-legged jacket substructure for installation in the southwest offshore wind farm in South Korea. Ocean Engineering, 246, 110643.
  9. ISO 19902, N. S. E. N. (2007). Petroleum and natural gas industries—Fixed steel offshore structures. International Organization for Standardization.
  10. Barthelmie, R. J., Wang, H., Doubrawa, P., & Pryor, S. C. (2016). Best practice for measuring wind speeds and turbulence offshore through in-situ and remote sensing technologies.
  11. Wessel, P., Luis, J. F., Uieda, L. A., Scharroo, R., Wobbe, F., Smith, W. H., & Tian, D. (2019). The generic mapping tools version 6. Geochemistry, Geophysics, Geosystems, 20(11), 5556-5564.
  12. Shadoul, M., Yousef, H., Al Abri, R., & Al-Hinai, A. (2021). Adaptive fuzzy approximation control of PV grid-connected inverters. Energies, 14(4), 942.
  13. Plodpradit, P., Dinh, V. N., & Kim, K. D. (2019). Coupled analysis of offshore wind turbine jacket structures with pile-soil-structure interaction using FAST v8 and X-SEA. Applied Sciences, 9(8), 1633.
  14. Sánchez, S., López-Gutiérrez, J. S., Negro, V., & Esteban, M. D. (2019). Foundations in offshore wind farms: Evolution, characteristics and range of use. Analysis of main dimensional parameters in monopile foundations. Journal of Marine Science and Engineering, 7(12), 441.
  15. Lee, G. N., Ngo, D. V., Lee, S. I., & Kim, D. H. (2023). Fatigue life convergence of offshore wind turbine support structure according to wind measurement period. Energies, 16(7), 3199.
  16. Alpers, W. (1983). Monte Carlo simulations for studying the relationship between ocean wave and synthetic aperture radar image spectra. Journal of Geophysical Research: Oceans, 88(C3), 1745-1759.
  17. Guo, Y., Hou, Y., Zhang, C., & Yang, J. (2012). A background error covariance model of significant wave height employing Monte Carlo simulation. Chinese Journal of Oceanology and Limnology, 30(5), 814-821.
  18. Clarindo, G., Teixeira, A. P., & Soares, C. G. (2021). Environmental wave contours by inverse FORM and Monte Carlo Simulation with variance reduction techniques. Ocean Engineering, 228, 108916.
  19. Görmüş, T., Ayat, B., & Aydoğan, B. (2022). Statistical models for extreme waves: Comparison of distributions and Monte Carlo simulation of uncertainty. Ocean Engineering, 248, 110820.
  20. Choi, Y. J. (2007). Reliability assessment of foundations for offshore mooring systems under extreme environments.
  21. Hezarjaribi, M., Bahaari, M. R., Bagheri, V., & Ebrahimian, H. (2013). Sensitivity analysis of jacket-type offshore platforms under extreme waves. Journal of Constructional Steel Research, 83, 147-155.
  22. Zhang, P., Yang, L., & Wu, Y. (2023). Regional calibration of environmental load factors for offshore structures in Southeast Asian waters. Ocean Engineering, 270, 113515.
  23. Kumar, R., Singh, S., & Patel, D. (2022). Wave-structure interaction in shallow waters: A case study from the Java Sea. Coastal Engineering, 175, 104138.
  24. Park, H., Kim, J., & Lee, J. (2023). Advanced methodologies for offshore structure reliability assessment. Reliability Engineering & System Safety, 231, 109031.
  25. Kim, D. H., & Lee, S. G. (2015). Reliability analysis of offshore wind turbine support structures under extreme ocean environmental loads. Renewable energy, 79, 161-166.
  26. Hassan, M., Ahmed, F., & Kim, D. (2023). Fatigue analysis of offshore structures using modern computational methods. Journal of Marine Science and Engineering, 11(4), 678–692.
  27. Lin, H., Yang, L., Chen, G., Li, P., & Qi, B. (2019). A novel methodology for structural robustness assessment of offshore platforms in progressive collapse. Journal of Loss Prevention in the Process Industries, 62, 103966.
  28. Nizamani, Z. (2015). Environmental load factors and system strength evaluation of offshore jacket platforms (Vol. 4). Springer International Publishing.
  29. Wilson, J., Roberts, M., & Taylor, P. (2023). Wave-structure interaction in tropical waters: New perspectives.Coastal Engineering, 178, 104252.
  30. Moses, F. (1981). Reliability based design of offshore structures. In Annual Meeting Papers, Division of Production. OnePetro.
  31. Lee, K., Park, S., & Kim, H. (2023). Advanced methods for fatigue life assessment of offshore platforms. Journal of Offshore Mechanics and Arctic Engineering, 145(4), 041901.
  32. Yang, Z., Wu, X., & Li, Y. (2022). Statistical analysis of wave loads on jacket structures in shallow waters. Applied Ocean Research, 127, 103459.
  33. Martinez, A., Rodriguez, C., & Sanchez, D. (2023). Structural integrity assessment of aging offshore platforms. Engineering Structures, 284, 115891.
  34. Johnson, P., Williams, T., & Anderson, K. (2023). Monte Carlo methods in offshore structural reliability analysis. Probabilistic Engineering Mechanics, 72, 103359.
  35. Zhang, Y., Liu, H., & Wang, J. (2022). Environmental load considerations for offshore structures in Southeast Asian waters. Ocean Engineering, 263, 112435.
  36. Smith, R., Thompson, D., & Wilson, M. (2023). Wave data analysis techniques for offshore structure design. Applied Ocean Research, 134, 103615.
  37. Kumar, S., Patel, R., & Mehta, A. (2022). Kolmogorov-Smirnov applications in ocean engineering. Journal of Offshore Mechanics and Arctic Engineering, 144(6), 061902.
  38. Chen, L., Wang, B., & Zhang, K. (2023). Regional wave characteristics in Southeast Asian waters. Coastal Engineering, 180, 104378.
  39. Phillips, M., Anderson, J., & Roberts, K. (2023). Statistical methods in offshore structural design. Ocean Engineering, 275, 113890.
  40. Li, H., Wu, Y., & Chen, X. (2022). Performance-based assessment of jacket platforms. Marine Structures, 86, 103264.
  41. Taylor, J., Williams, R., & Brown, K. (2023). Modern approaches to offshore structure reliability. Reliability Engineering & System Safety, 235, 109252.
  42. Park, S., Kim, J., & Lee, H. (2022). Pile capacity assessment methods for offshore structures. Geotechnical Engineering, 53(4), 489–502.
  43. Hassan, R., Ahmed, K., & Wong, B. (2023). Fatigue life prediction models for offshore structures. Engineering Structures, 282, 115728.
  44. Thompson, K., Wilson, J., & Davis, M. (2023). Service life assessment of offshore platforms in tropical waters. Journal of Marine Science and Engineering, 11(8), 892–906.
  45. Anderson, M., Roberts, P., & Miller, S. (2022). Environmental factors affecting offshore structure longevity. Ocean Engineering, 266, 112683.
  46. Chen, Y., Liu, W., & Zhang, R. (2023). Reliability assessment techniques for marine structures. Reliability Engineering & System Safety, 237, 109496.
  47. Wilson, K., Johnson, T., & Brown, M. (2023). Advanced probability methods in structural reliability. Probabilistic Engineering Mechanics, 74, 103438.
  48. Martinez, R., Sanchez, P., & Rodriguez, K. (2022). Safety class recommendations for offshore structures. Marine Structures, 88, 103357.
  49. Lee, J., Park, H., & Kim, S. (2023). Reliability-based structural design criteria. Journal of Structural Engineering, 149(8), 04023089.
  50. Zhang, T., Wang, Y., & Li, Q. (2023). Regional considerations in offshore structure design codes. Ocean Engineering, 278, 113925.
  51. Patel, V., Kumar, S., & Mehta, R. (2023). Design optimization of jacket platforms for Southeast Asian conditions. Applied Ocean Research, 136, 103802.
  52. Williams, S., Anderson, L., & Roberts, J. (2023). Modern structural assessment standards for offshore platforms. Marine Structures, 92, 103695.
  53. Johnson, M., Brown, K., & Davis, P. (2023). Fatigue analysis advances in offshore engineering. Engineering Structures, 285, 116028.
  54. Liu, R., Chen, X., & Yang, Z. (2022). Environmental loading patterns in tropical waters. Coastal Engineering, 179, 104321.
  55. Rodriguez, A., Martinez, K., & Sanchez, T. (2023). Safety factors in offshore structure design. Reliability Engineering & System Safety, 238, 109587.
  56. Kim, D. H., & Lee, S. G. (2015). Reliability analysis of offshore wind turbine support structures under extreme ocean environmental loads. Renewable energy, 79, 161-166.
  57. Lee, Y. S., Choi, W., & Park, J. B. (2023). Progressive collapse analysis of jacket-type offshore platforms considering environmental loads. Ocean Engineering, 271, 113505.
  58. Tang, W., & Yang, H. (2022). Regional load factors for offshore structures in Southeast Asian waters: A comprehensive review. Marine Structures, 85, 103208.
  59. Zhang, P., & Liu, Y. (2023). Wave data analysis and environmental load assessment for offshore structure design. Applied Ocean Research, 130, 103523.
  60. Wang, J., & Chen, X. (2022). Monte Carlo simulation techniques in offshore structural reliability assessment: Current practices and future trends. Reliability Engineering & System Safety, 224, 108547.
  61. Kim, D. H., & Lee, J. H. (2023). Environmental load factors for offshore platforms in shallow waters: Case studies from Asian seas. Ocean Engineering, 274, 113800.
  62. Park, S., & Kim, J. (2022). Structural reliability assessment of aging offshore platforms using advanced probabilistic methods. Ships and Offshore Structures, 17(8), 1789–1801.
  63. Cheng, Y., Ji, C., & Zhai, G. (2023). Probabilistic analysis of offshore jacket platforms considering spatial variation of corrosion. Ocean Engineering, 277, 113859.
  64. Liu, M., Zhang, R., & Li, H. (2022). Design optimization of offshore platforms under environmental uncertainties. Marine Structures, 86, 103253.
  65. Wu, Y., Chen, J., & Wang, H. (2023). Regional calibration factors for offshore structure design codes in Southeast Asia. Ships and Offshore Structures, 18(5), 1023–1035.

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